- name
- research-matrix-builder
- description
- Build literature matrices from papers, notes, and abstracts to compare
- version
- 1.1.0
- metadata
- openclaw
- requires
- bins
- emoji
- 🧰
Research Matrix Builder
Purpose
Build literature matrices from papers, notes, and abstracts to compare methods, data, findings, and research gaps.
Trigger phrases
- 文献矩阵
- build a literature matrix
- 整理论文综述
- research gap table
- 做研究对比表
Ask for these inputs
- paper list or notes
- research question
- matrix dimensions
- citation style if needed
Workflow
- Normalize each source into the bundled matrix schema.
- Extract problem, method, data, metric, result, limitation, and gap.
- Cluster similar methods and contradictory findings.
- Generate a matrix CSV and a narrative synthesis outline.
- Keep missing fields explicit and cite where possible.
Output contract
- literature matrix CSV
- thematic clusters
- gap summary
- review outline
Files in this skill
- Script:
{baseDir}/scripts/build_matrix.py - Resource:
{baseDir}/resources/matrix_schema.csv
Operating rules
- Be concrete and action-oriented.
- Prefer preview / draft / simulation mode before destructive changes.
- If information is missing, ask only for the minimum needed to proceed.
- Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
- Keep assumptions explicit.
Suggested prompts
- 文献矩阵
- build a literature matrix
- 整理论文综述
Use of script and resources
Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft. Use the resource file as the default schema, checklist, or preset when the user does not provide one.
Boundaries
- This skill supports planning, structuring, and first-pass artifacts.
- It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.
Compatibility notes
- Directory-based AgentSkills/OpenClaw skill.
- Runtime dependency declared through
metadata.openclaw.requires. - Helper script is local and auditable:
scripts/build_matrix.py. - Bundled resource is local and referenced by the instructions:
resources/matrix_schema.csv.